Taman Dato Senu
Sentul, Kuala Lumpur
RM 290,000
快速摘要
Taman Dato Senu 是位于 Sentul, Kuala Lumpur 的三层永久地契排屋，以拍卖方式出售。此半配家具物业拥有分层地契，建筑面积900平方英尺，设有3间卧室、2间浴室和2个停车位。标价RM 290,000，拍卖日期为6/10/2020。欢迎联系代理了解详情。
房产规格
描述
30% below market price
Bank valuation 400k++
Strata title issued
BANK AUCTION PROPERTY :
Bank: Kuala Lumpur High Court RHB Harve
Auction Date: 6/10/2020
Description: 4 room 3 bathroom
Size: 592sf
Address: No. 3, Jalan Dato Senu 25 (Jalan 25/48), Taman Dato Senu, Sentul, 51000, Kuala Lumpur
For more information please contact : Javen Low 017-311 2788
Interested bidder, please provide the following details to register :
1) Full Name (as per I.C ) :
2) NRIC Number :
3) Mailing / House Address :
4) Email Address :
5) Contact Number :
*There is no inside viewing of auction properties, every auction is an as is where is basis deal. Prospective bidders are to do a self survey from outside.
10% deposit of the fixed reserve price.
For more information please contact : Javen Low 017-311 2788
Loan & Insurance Calculator
Estimates onlyRates: Bank Negara Malaysia (indicative effective lending rate), refreshed daily. Tap a bank to apply its rate.
Monthly Instalment
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Loan Amount
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Total Interest
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MRTA vs MLTA Comparison
Indicative estimates - actual premiums depend on insurer, health & plan| MRTA | MLTA | |
|---|---|---|
| Estimated Premium | - | - |
| Payment | One-off (usually financed into loan) | Monthly / yearly premium |
| Coverage | Reducing - follows loan balance | Level - fixed sum assured |
| Beneficiary | Bank (settles the loan) | Family (loan settled, balance to family) |
| Cash Value | None / minimal | Yes - may have cash value |
| Transferable | Tied to this loan | Portable to next property |
All figures are estimates for reference only and do not constitute financial advice. Loan approval, interest rates and insurance premiums vary by bank, insurer, age, health condition and coverage chosen. Please consult your banker or licensed financial adviser for exact quotations.
附近设施
Map data © OpenStreetMap contributors. Approximate location based on property name and area.
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